Partially Linear Additive Hazards Regression for Bivariate Interval-Censored Data

Partially Linear Additive Hazards Regression for Bivariate Interval-Censored Data

In this paper, we discuss regression analysis of bivariate interval-censored failure time data that often occur in biomedical and epidemiological studies. To solve this problem, we propose a kind of general and flexible copula-based semiparametric partly linear additive hazards models that can allow...

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Bibliographic Details
Main Authors: Ximeng Zhang, Shishun Zhao, Tao Hu, Jianguo Sun
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Axioms
Subjects:
Archimedean copula model
Bernstein polynomials
bivariate interval-censored data
partly linear model
Online Access:https://www.mdpi.com/2075-1680/12/2/198

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